Integrative omics identifies conserved and pathogen-specific responses of sepsis-causing bacteria

Andre Mu(The University of Melbourne), William P. Klare(The University of Sydney), Sarah L. Baines(The University of Melbourne), Chi Nam Ignatius Pang(Children's Medical Research Institute), Romain Guérillot(The University of Melbourne), Nichaela Harbison-Price(The University of Queensland), Nadia Keller(The University of Queensland), Jonathan J. Wilksch(The University of Melbourne), Nguyen Thi Khanh Nhu(The University of Queensland), Minh‐Duy Phan(The University of Queensland), Bernhard Keller(The University of Queensland), Brunda Nijagal(The University of Melbourne), Dedreia Tull(The University of Melbourne), Saravanan Dayalan(The University of Melbourne), Hwa Huat Charlie Chua(The University of Melbourne), Dominik Skoneczny(The University of Melbourne), Jason Koval(UNSW Sydney), Abderrahman Hachani(The University of Melbourne), Anup D. Shah(Monash University), Nitika Neha(The University of Melbourne), Snehal Jadhav(The University of Melbourne), Sally R. Partridge(The University of Sydney), Amanda J. Cork(The University of Queensland), Kate M. Peters(The University of Queensland), Olivia M. Bertolla(The University of Queensland), Stephan Brouwer(The University of Queensland), Steven J. Hancock(The University of Queensland), Laura Álvarez-Fraga(The University of Queensland), David M. P. De Oliveira(The University of Queensland), Brian M. Forde(The University of Queensland), Ashleigh Dale(The University of Sydney), Warasinee Mujchariyakul(The University of Melbourne), Calum J. Walsh(The University of Melbourne), Ian R. Monk(The University of Melbourne), Anna Fitzgerald(Bioplatforms Australia), Mabel Lum(Bioplatforms Australia), Carolina Correa-Ospina(UNSW Sydney), Piklu Roy Chowdhury(University of Technology Sydney), Robert G. Parton(The University of Queensland), James J. De Voss(The University of Queensland), J. B. Beckett(The University of Queensland), Francois Monty(AGRF Ltd), Jessica McKinnon(University of Technology Sydney), Xiaomin Song(AGRF Ltd), J. Stephen(AGRF Ltd), Marie Everest(AGRF Ltd), M. Bellgard(Queensland University of Technology), Matthew Tinning(AGRF Ltd), Michael G. Leeming(The University of Melbourne), Dianna M. Hocking(The University of Melbourne), Leila Jebeli(The University of Melbourne), Nancy Wang(The University of Melbourne), Nouri L. Ben Zakour(The University of Sydney), Serhat A. Yasar(UNSW Sydney), Stefano Vecchiarelli(UNSW Sydney), Tonia Russell(UNSW Sydney), Thiri Zaw(AGRF Ltd), Tyrone Chen(The Alfred Hospital), Don Teng(The University of Melbourne), Zena Kassir(UNSW Sydney), Trevor Lithgow(Monash University), Adam Jenney(Monash University), Jason N. Cole(University of California San Diego), Victor Nizet(University of California San Diego), Tania C. Sorrell(The University of Sydney), Anton Y. Peleg(The Alfred Hospital), David L. Paterson(The University of Queensland), Scott A. Beatson(The University of Queensland), Jemma Wu(AGRF Ltd), Mark P. Molloy(AGRF Ltd), Anna Syme(The University of Melbourne), Robert J. A. Goode(Commonwealth Scientific and Industrial Research Organisation), Adam Hunter(Murdoch University), Grahame Bowland(Murdoch University), Nicholas P. West(The University of Queensland), Marc R. Wilkins(UNSW Sydney), Steven P. Djordjevic(University of Technology Sydney), Mark R. Davies(The University of Melbourne), Torsten Seemann(The University of Melbourne), Benjamin P. Howden(The University of Melbourne), Dana Pascovici(AGRF Ltd), Sonika Tyagi(The Alfred Hospital), Ralf B. Schittenhelm(Monash University), David P. De Souza(The University of Melbourne), Malcolm J. McConville(The University of Melbourne), Jonathan R. Iredell(The University of Sydney), Stuart J. Cordwell(The University of Sydney), Richard A. Strugnell(The University of Melbourne), Timothy P. Stinear(The University of Melbourne), Mark A. Schembri(The University of Queensland), Mark J. Walker(The University of Queensland)
Nature Communications
March 18, 2023
Cited by 60Open Access
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Abstract

Even in the setting of optimal resuscitation in high-income countries severe sepsis and septic shock have a mortality of 20-40%, with antibiotic resistance dramatically increasing this mortality risk. To develop a reference dataset enabling the identification of common bacterial targets for therapeutic intervention, we applied a standardized genomic, transcriptomic, proteomic and metabolomic technological framework to multiple clinical isolates of four sepsis-causing pathogens: Escherichia coli, Klebsiella pneumoniae species complex, Staphylococcus aureus and Streptococcus pyogenes. Exposure to human serum generated a sepsis molecular signature containing global increases in fatty acid and lipid biosynthesis and metabolism, consistent with cell envelope remodelling and nutrient adaptation for osmoprotection. In addition, acquisition of cholesterol was identified across the bacterial species. This detailed reference dataset has been established as an open resource to support discovery and translational research.


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